Modelling count, bounded and skewed continuous outcomes in physical activity research: beyond linear regression models

BACKGROUND: Inference using standard linear regression models (LMs) relies on assumptions that are rarely satisfied in practice. Substantial departures, if not addressed, have serious impacts on any inference and conclusions; potentially rendering them invalid and misleading. Count, bounded and skew...

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Detalles Bibliográficos
Autores principales: Akram, Muhammad, Cerin, Ester, Lamb, Karen E., White, Simon R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163772/
https://www.ncbi.nlm.nih.gov/pubmed/37147664
http://dx.doi.org/10.1186/s12966-023-01460-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163772/
https://www.ncbi.nlm.nih.gov/pubmed/37147664
http://dx.doi.org/10.1186/s12966-023-01460-y

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